CN111757344A - Wireless network control optimization method and system - Google Patents

Wireless network control optimization method and system Download PDF

Info

Publication number
CN111757344A
CN111757344A CN201910251946.8A CN201910251946A CN111757344A CN 111757344 A CN111757344 A CN 111757344A CN 201910251946 A CN201910251946 A CN 201910251946A CN 111757344 A CN111757344 A CN 111757344A
Authority
CN
China
Prior art keywords
network
data
user
parameter
optimization
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201910251946.8A
Other languages
Chinese (zh)
Other versions
CN111757344B (en
Inventor
孙奇
段然
吴杰
解宇瑄
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Mobile Communications Group Co Ltd
China Mobile Communications Ltd Research Institute
Original Assignee
China Mobile Communications Group Co Ltd
China Mobile Communications Ltd Research Institute
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Mobile Communications Group Co Ltd, China Mobile Communications Ltd Research Institute filed Critical China Mobile Communications Group Co Ltd
Priority to CN201910251946.8A priority Critical patent/CN111757344B/en
Publication of CN111757344A publication Critical patent/CN111757344A/en
Application granted granted Critical
Publication of CN111757344B publication Critical patent/CN111757344B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08—Configuration management of networks or network elements
    • H04L41/0893—Assignment of logical groups to network elements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14—Network analysis or design
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14—Network analysis or design
    • H04L41/142—Network analysis or design using statistical or mathematical methods
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14—Network analysis or design
    • H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Abstract

The invention provides a wireless network control optimization method and a wireless network control optimization system. In the wireless network control optimization system, the access network data analysis unit analyzes network control optimization data according to the UE related parameter data pushed by the core network user parameter pushing unit and the UE network data dynamically collected in the access network to obtain a network control optimization analysis decision, so that real-time control optimization of the access network driven by user-level and terminal-level data can be better supported, and network optimization of different users and various types of terminals in the current access network area by using data spanning multiple access network areas is realized.

Description

Wireless network control optimization method and system
Technical Field
The embodiment of the invention relates to the technical field of communication, in particular to a wireless network control optimization method and a wireless network control optimization system.
Background
At present, wireless big data is mainly applied to network planning optimization, and the existing network planning is mainly based on offline big data analysis, finds network blind spots and hot spots and guides network deployment. At present, the main work of the network optimization is to focus on optimizing network parameters such as power, interoperation, timer, mobility parameter optimization and the like from a management plane on road measurement data or Measurement Report (MR) data, signaling acquisition, network management indexes, engineering parameters (station address longitude and latitude, station height, radio frequency RF parameters) data and the like on a terminal side and a base station side. The optimization is generally from the site level, is non-real-time, and cannot well meet the requirements of user-level, real-time and rapid optimization.
In order to research the influence of Data analysis on Network optimization, a Network Data analysis Function (NWDAF) is currently proposed for collecting Network-related Data, analyzing related big Data, and assisting a Network in performing user-level and flow (flow) -level quality of service (QoS) optimization, mobility optimization, load balancing, related Network performance prediction and the like, so as to improve user experience and Network performance. The current data analysis of the NWDAF mainly includes user mobility rule analysis and service QoS analysis, and is mainly used for supporting the optimization of paging (paging), registration area (registration area) and access and mobility management function (AMF) of a core network side.
Disclosure of Invention
An object of the embodiments of the present invention is to provide a method and a system for controlling and optimizing a wireless network, which can implement user-level and terminal-level data-driven access network real-time control optimization.
The embodiment of the invention provides a wireless network control optimization system, which comprises: the device comprises a core network data analysis unit, a core network user parameter configuration and storage unit, a core network user parameter pushing unit, an access network data analysis unit and an access network optimization execution unit; wherein the content of the first and second substances,
the core network data analysis unit is used for analyzing User Equipment (UE) network data, obtaining UE related parameter data and providing the UE related parameter data for the core network user parameter configuration and storage unit for storage, wherein the UE related parameter data comprises: user parameter data counted by user dimension and terminal parameter data counted by terminal type dimension;
the core network user parameter pushing unit is used for inquiring UE related parameter data of the target UE in the core network user parameter configuration and storage unit when receiving the position update or switching notification of the target UE, and pushing the UE related parameter data to the access network data analysis unit where the target UE is located;
the access network data analysis unit is used for carrying out network control optimization data analysis according to the UE related parameter data of the target UE pushed by the core network user parameter pushing unit and UE network data dynamically collected from the access network to obtain a network optimization analysis decision of the target UE and providing the network optimization analysis decision to the access network optimization execution unit;
and the access network optimization executing unit is used for executing corresponding network control optimization at an access network side according to the network optimization analysis decision of the target UE provided by the access network data analyzing unit.
The embodiment of the invention also provides a wireless network control optimization method, which comprises the following steps:
analyzing network data of User Equipment (UE), obtaining and storing UE related parameter data, wherein the UE related parameter data comprises: user parameter data counted by user dimension and terminal parameter data counted by terminal type dimension;
when receiving a location update or a switching notification of target UE, inquiring UE related parameter data of the target UE in the stored UE related parameter data;
performing network control optimization data analysis according to the UE related parameter data of the target UE and UE network data dynamically acquired from an access network to obtain a network optimization analysis decision of the target UE;
and executing corresponding network control optimization at the access network side according to the network optimization analysis decision of the target UE.
An embodiment of the present invention further provides a communication device, including: a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the radio network control optimization method as described above.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method are implemented as described above.
According to the wireless network control optimization method and system provided by the embodiment of the invention, the access network data analysis unit carries out network control optimization data analysis according to the UE related parameter data pushed by the core network user parameter pushing unit and the UE network data dynamically collected in the access network to obtain a network control optimization analysis decision, so that the real-time control optimization of the access network driven by user-level and terminal-level data can be better supported, and the network optimization of different users and various types of terminals in the current access network area by using data spanning multiple access network areas is realized.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a schematic structural diagram of a radio network control optimization system according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a method for controlling and optimizing a radio network according to an embodiment of the present invention;
fig. 3 is a flowchart of an example 1 of a radio network control optimization method according to an embodiment of the present invention;
fig. 4 is a flowchart of example 2 of a radio network control optimization method according to an embodiment of the present invention;
fig. 5 is a flowchart of example 3 of a radio network control optimization method according to an embodiment of the present invention.
Detailed Description
At present, network optimization of a network management side in the prior art is generally non-real-time, and cannot be controlled and optimized in real time at a user level and a service level at a site level. For example, the NWDAF-related solution mainly considers the data analysis optimization of the core network side, does not perform the related optimization on the radio access network side, and does not consider the cooperative optimization of the data analysis of the radio access network and the core network. The current data analysis of NWDAF does not involve statistical signature information analysis by terminal type dimension. In the user-oriented data characteristic analysis, the current NWDAF related data analysis is not a radio access network-oriented related control optimization algorithm, and the data analysis granularity is coarse, for example, the user movement probability characteristic and the user power consumption space-time distribution statistical characteristic are not included.
The embodiment of the invention provides a wireless network control optimization method, which mainly solves the real-time control optimization of a user level and a terminal level at an access network side, considers the collaborative optimization of the data analysis and execution function of an access network and the data analysis of a network management system and a core network side, and realizes the network optimization of different users and various types of terminals in the current access network area by using data spanning multiple access network areas. Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
The terms first, second and the like in the description and in the claims of the present application are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. In the description and in the claims "and/or" means at least one of the connected objects.
The techniques described herein are not limited to Long Time Evolution (LTE)/LTE Evolution (LTE-Advanced) systems, and may also be used for various wireless communication systems, such as Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Frequency Division Multiple Access (FDMA), Orthogonal Frequency Division Multiple Access (OFDMA), Single-carrier Frequency Division Multiple Access (SC-FDMA), and other systems. The terms "system" and "network" are often used interchangeably. CDMA systems may implement Radio technologies such as CDMA2000, Universal Terrestrial Radio Access (UTRA), and so on. UTRA includes Wideband CDMA (Wideband code division Multiple Access, WCDMA) and other CDMA variants. TDMA systems may implement radio technologies such as Global System for Mobile communications (GSM). The OFDMA system may implement radio technologies such as Ultra Mobile Broadband (UMB), evolved-UTRA (E-UTRA), IEEE 802.11(Wi-Fi), IEEE 802.16(WiMAX), IEEE 802.20, Flash-OFDM, etc. UTRA and E-UTRA are parts of the Universal Mobile Telecommunications System (UMTS). LTE and higher LTE (e.g., LTE-A) are new UMTS releases that use E-UTRA. UTRA, E-UTRA, UMTS, LTE-A, and GSM are described in documents from an organization named "third Generation partnership project" (3 GPP). CDMA2000 and UMB are described in documents from an organization named "third generation partnership project 2" (3GPP 2). The techniques described herein may be used for both the above-mentioned systems and radio technologies, as well as for other systems and radio technologies. However, the following description describes the NR system for purposes of example, and NR terminology is used in much of the description below, although the techniques may also be applied to applications other than NR system applications.
The following description provides examples and does not limit the scope, applicability, or configuration set forth in the claims. Changes may be made in the function and arrangement of elements discussed without departing from the spirit and scope of the disclosure. Various examples may omit, substitute, or add various procedures or components as appropriate. For example, the described methods may be performed in an order different than described, and various steps may be added, omitted, or combined. In addition, features described with reference to certain examples may be combined in other examples.
Referring to fig. 1, an embodiment of the present invention provides a radio network control optimization system 100, including: a core network data analysis unit 101, a core network user parameter configuration and storage unit 102, a core network user parameter push unit 103, an access network data analysis unit 104 and an access network optimization execution unit 105; wherein:
the core network data analysis unit 101 is configured to analyze network data of a user equipment UE, obtain UE-related parameter data, and provide the UE-related parameter data to the core network user parameter configuration and storage unit 102 for storage, where the UE-related parameter data includes: user parameter data counted by user dimension, and terminal parameter data counted by terminal type dimension.
The core network user parameter pushing unit 103 is configured to query UE-related parameter data of the target UE in the core network user parameter configuration and storage unit when receiving a location update or handover notification of the target UE, and push the UE-related parameter data to the access network data analysis unit where the target UE is located.
The access network data analysis unit 104 is configured to perform network control optimization data analysis according to the UE-related parameter data of the target UE pushed by the core network user parameter pushing unit and the UE network data dynamically acquired from the access network, obtain a network optimization analysis decision of the target UE, and provide the network optimization analysis decision to the access network optimization execution unit.
The access network optimization executing unit 105 is configured to execute corresponding network control optimization on the access network side according to the network optimization analysis decision of the target UE provided by the access network data analyzing unit.
Through the above units, in the radio network control optimization system 100 according to the embodiment of the present invention, the access network data analysis unit 104 performs network control optimization data analysis according to the UE related parameter data pushed by the core network user parameter pushing unit 103 and the UE network data dynamically acquired from the access network, so as to obtain a network control optimization analysis decision, thereby better supporting user-level and terminal-level data-driven access network real-time control optimization, and implementing network optimization of different users and various types of terminals in the current access network region by using data spanning multiple access network regions.
In addition, as shown in fig. 1, the radio network control optimization system 100 according to the embodiment of the present invention may further include:
the network management unit 106 is configured to collect network data of an access network, and configure at least one of a network optimization function, a network optimization decision model, and a network optimization decision algorithm for the access network data analysis unit 101. Here, the network data of the access network includes, but is not limited to, the following: network switching measurement information, network switching record information, user QoE feedback information, contextual information related to QoE feedback, contextual information fed back by UE electric quantity and the like.
Preferably, the network management unit 106 may further collect performance result feedback information of the access network optimization execution unit 105, perform optimization updating on the network optimization decision model according to the performance result feedback information, and send the updated network optimization decision model to the access network data analysis unit 101.
In this embodiment of the present invention, the UE network data analyzed by the core network data analysis unit 101 may be obtained from the network management unit 106 and/or a core network element. Here, the UE network data is different from the foregoing network data of the access network in that the network data of the access network includes UE network data of a plurality of UEs in the access network, and the UE network data is network data for a certain UE in the network data of the access network. In particular, the method comprises the following steps of,
a) the UE network data acquired by the core network data analysis unit 101 may include: user mobility related data, terminal network performance related data, user electric quantity information data, user service context information data and the like.
b) The user parameter data storage dimension comprises: the International Mobile Subscriber Identity (IMSI) of the user, the type of the user parameter data and the data value. Optionally, the method may further include an applicable time period, an applicable location area, and the like of the user parameter data.
c) The terminal parameter data storage dimension comprises: the terminal type identification, the type of the terminal parameter data and the data value. Optionally, the method may further include a network type and an access mode suitable for the terminal parameter data.
d) The user parameter data comprises at least one of: user mobility probability parameter data, user electricity consumption parameter data, user service type, user Quality of Experience (QoE) score type, service characteristic parameter data (time and place of occurrence of specific service, service occurrence cycle data), and the like.
e) The terminal parameter data comprises at least one of: terminal network performance parameter data, such as average throughput, average service delay, dropped call rate, bit error rate, average modulation coding scheme and distribution used by all services of the terminal, and average throughput, service delay, dropped call rate, bit error rate, average modulation coding scheme and distribution used by a certain service(s), etc. Here, the specific service may be a pre-specified or configured service.
In the embodiment of the present invention, when receiving a location update notification or a handover notification of a target UE, the core network user parameter pushing unit 103 queries UE-related parameter data in the core network user parameter configuration and storage unit 102, and pushes the parameter data to an access network data analysis unit where the UE is located. The core network user parameter pushing unit 103 may also update and push user parameters related to the update notification to an access network data analysis unit where the relevant UE is located when receiving the update notification of the core network data analysis unit. In particular, the method comprises the following steps of,
a) when the core network user parameter pushing unit 103 queries the UE related parameter data, the method specifically includes: inquiring user parameter data matched with IMSI identification of target UE, and inquiring terminal parameter data matched with terminal type identification of target UE
b) The specific query conditions may include: the IMSI identity and the terminal type identity in the UE may optionally further include a UE location area, a UE network type, an access method, a time period, and the like.
In the embodiment of the present invention, the access network data analysis unit 104 performs network control optimization data analysis according to the UE related parameter data pushed by the core network user parameter pushing unit 103 and the UE network data dynamically acquired from the access network, so as to obtain a network optimization analysis decision. The network optimization analysis decision includes at least one of an operational order, a parameter configuration, and a policy configuration, wherein,
a) the operation commands include an access network Radio Resource Management (RRM) operation and a Radio Resource Control (RRC) operation command and other access network signaling commands. Examples include: UE handover, radio resource block allocation, Modulation and Coding Scheme (MCS) specification, Quality of Service (QoS) specification, and other operation commands.
b) The parameter configuration includes access network element parameter configuration and RRM parameter configuration, for example: frame structure parameters, pilot frequency parameters, control channel resource and other parameter configurations, switching threshold setting, scheduling priority parameters, user scheduling frequency band range and the like.
c) The strategy configuration comprises configuration of RRM Key Performance Indicator (KPI) target preference, RRM algorithm type, cell and user range suitable for RRM algorithm. For example: load balancing strategy target configuration, constraint condition configuration and proportional fair scheduling strategy configuration.
Preferably, the network management unit 106 may be further configured to configure at least one of a parameter calculation type and a parameter calculation algorithm of the core network data analysis unit for the core network data analysis unit 101.
Based on the above radio network control optimization system, an embodiment of the present invention further provides a radio network control optimization method, please refer to fig. 1 and fig. 2, where the method includes:
step 21, analyzing network data of User Equipment (UE), obtaining and storing UE related parameter data, wherein the UE related parameter data comprises: user parameter data counted by user dimension, and terminal parameter data counted by terminal type dimension.
Here, the core network data analysis unit 101 may perform the analysis function in step 21, obtain UE-related parameter data, and store the UE-related parameter data in the core network user parameter configuration and storage unit 102. For the storage of the UE network data and the user parameter data, reference may be made to the foregoing description, and details are not repeated here.
Step 22, when receiving the location update or the switching notification of the target UE, querying the UE related parameter data of the target UE in the stored UE related parameter data.
Here, the core network user parameter pushing unit 103 may execute the query function in step 22, and push the queried data to the access network data analyzing unit 104.
And step 23, performing network control optimization data analysis according to the UE related parameter data of the target UE and UE network data dynamically acquired from an access network to obtain a network optimization analysis decision of the target UE.
Here, the access network data analysis unit 104 may perform the network control optimization data analysis function in step 23, obtain the network optimization analysis decision of the target UE, and send the network optimization analysis decision to the access network optimization execution unit 105. In particular, the method comprises the following steps of,
a) the operation commands may include access network RRM operation and RRC operation commands and other access network signaling commands. Specific examples are: UE handover, radio resource block allocation, MCS assignment, QoS assignment, and the like.
b) The parameter configuration comprises access network element parameter configuration and RRM parameter configuration. Specific examples are: frame structure parameters, pilot frequency parameters, control channel resource and other parameter configurations, switching threshold setting, scheduling priority parameters, user scheduling frequency band range and the like.
c) The policy configuration contains configuration of RRM KPI target preferences and RRM algorithm types. Specific examples are: and load balancing strategy configuration, such as frequency point priority, user set without load balancing for a certain cell, and proportional fair scheduling strategy configuration.
And 24, executing corresponding network control optimization on the access network side according to the network optimization analysis decision of the target UE.
Here, the access network optimization performing unit 105 may perform the network control optimization function in step 24, and may feed back performance result feedback information performed by the network control optimization function to the network management unit 106. The network optimization analysis decision comprises at least one of an operation command, a parameter configuration and a policy configuration; wherein the operation command comprises an access network Radio Resource Management (RRM) operation, a Radio Resource Control (RRC) operation command and other predefined access network signaling commands; the parameter configuration comprises access network element parameter configuration and RRM parameter configuration; the strategy configuration comprises configuration of RRM key performance indicator KPI target preference, RRM algorithm type, applicable cell of RRM algorithm and user range.
Through the steps, the wireless network control optimization method of the embodiment of the invention realizes the real-time control optimization of the access network supporting the data driving of the user level and the terminal level, and can perform network optimization in the current access network area by using data spanning a plurality of access network areas for different users and various types of terminals.
Preferably, before the step 21, the method may further include:
step 20, collecting network data of an access network, and configuring at least one of a network optimization function, a network optimization decision model and a network optimization decision algorithm for the network control optimization data analysis according to the network data of the access network, so as to perform relevant configuration for the access network data analysis unit 104.
Furthermore, the method of the embodiment of the present invention may further collect performance result feedback information of the access network side performing corresponding network control optimization, and perform optimization updating on the network optimization decision model according to the performance result feedback information.
In addition, in step 20, at least one of a parameter calculation type and a parameter calculation algorithm for analyzing network data of the user equipment UE may be configured according to the network data of the access network, so that the core network data analysis unit 101 may perform related configuration.
Preferably, in the embodiment of the present invention, when obtaining the updated content of the UE-related parameter data, the method of the embodiment of the present invention may further perform network control optimization data analysis according to the updated UE-related parameter data and UE network data dynamically acquired from an access network to obtain a network optimization analysis decision of the target UE, and then perform corresponding network control optimization on an access network side according to the network optimization analysis decision of the target UE.
The following describes the radio network control optimization system and method according to embodiments of the present invention, and in order to better help understanding of the present invention, the present invention is further described below by using several examples.
Example 1:
referring to fig. 3, the process of example 1 includes:
3.1.1-3.1.2: the network management unit collects network switching measurement and switching record information from the wireless access network, analyzes the information to obtain a user switching decision model, inputs the measurement report data and the adjacent cell movement probability, and outputs the measurement report data and the adjacent cell movement probability as a switching cell number.
3.2.1-3.2.2: the core network data analysis unit analyzes and obtains user mobility parameter data according to the switching record information acquired from the core network mobility management unit, and provides the user mobility parameter data to the core network user parameter configuration and storage unit, for example, the probability of the user moving and switching from each cell position to the adjacent cell position in a given time period.
a) The parameter storage dimension is IMSI identification, parameter type identification, parameter value, applicable position area and applicable time period, wherein the parameter type identification is a mobile probability parameter, the parameter value is target cell identification and mobile probability, and the applicable position area value is source cell identification.
3.3: the network management unit sends the user switching decision model to the access network data analysis unit;
3.4: when a user moves to a certain area, the user initiates position updating, and a core network user parameter pushing unit acquires the probability of the user moving and switching to the position of an adjacent cell from a core network user parameter configuration and storage unit according to the IMSI of the user, the cell number and the current time and pushes the probability to an access network data analysis unit where the user cell is located;
3.5.1 to 3.5.4: when the user moves, a switching event is triggered, a measurement report is reported, the access network data analysis unit inputs a user switching decision model according to the measurement report and the received adjacent cell movement switching probability, the user switching decision model is analyzed to obtain the switching of the network optimization decision user to a target adjacent cell, and the network optimization decision user is sent to the access network optimization execution unit 1 and the access network optimization execution unit 2.
3.6: the access network optimization execution unit 1 executes the corresponding network optimization analysis decision and switches the user to the target cell.
Example 2:
referring to fig. 3, the flow of this example 2 includes:
4.0: the user sends QoE feedback information and QoE feedback related context information (service type, cell location, buffer size, rate, delay jitter, maximum delay, stuck frequency, buffer duration, stuck recovery duration ratio, etc.) to the network, and specifically, the user may feed back the information through the access network optimization execution unit, and then the information is forwarded to the network management unit or the core network data analysis unit by the access network optimization execution unit.
4.1.1-4.1.2: the network management unit or the core network data analysis unit collects user QoE feedback and related context information (service type, cell position, cache size, speed, delay jitter, maximum delay, stuck frequency, buffer duration, stuck recovery duration ratio and the like) of the QoE feedback, analyzes to obtain a user QoE scoring class classification/clustering model algorithm and a user QoE scoring model, inputs user QoE scoring class, area class, service type, cache size, speed, delay jitter, maximum delay, stuck frequency, buffer duration, stuck recovery duration ratio and the like, and outputs QoE satisfaction scoring.
4.2.1-4.2.3: and the core network data analysis unit analyzes and obtains the QoE grade class of each user according to the QoE feedback and the historical data of the related context information collected from the network management unit and a user QoE grade class classification algorithm, and provides the QoE grade class for the core network user parameter configuration and storage unit.
a) The user parameter storage dimensionality comprises an IMSI identifier, a parameter type identifier, a parameter value, an applicable position area and an applicable time period, wherein the parameter type identifier is a user QoE scoring category parameter, the parameter value is a category number, the applicable position area value is a default, and the applicable time period is a default.
4.3: the network management unit issues the QoE scoring model of the user to an access network data analysis unit;
4.4: when a user moves to a certain area, position updating is initiated, a core network user parameter pushing unit acquires the QoE scoring category of the user from a core network user parameter configuration and storage unit according to the IMSI of the user, and pushes the QoE scoring category to an access network data analysis unit where a user cell is located;
4.5.1-4.5.2: when a user initiates a service, an access network data analysis unit searches RRM RB (resource block) resource allocation patterns and estimates corresponding information such as rate, cache size, delay jitter, maximum delay, stuck frequency, buffer delay, stuck recovery duty ratio and the like under the patterns according to the QoE scoring category of the user, the current cell area category and the user service type, inputs a QoE scoring model to obtain QoE scoring output, finds the RB resource allocation patterns with the minimum RB quantity scoring more than a specified threshold value, and sends the RB resource allocation patterns to an access network optimization execution unit.
4.6: the access network optimization execution unit executes a corresponding network optimization analysis decision, for example, executes RB resource allocation for the user according to the RB resource allocation pattern.
Example 3:
referring to fig. 4, the flow of this example 3 includes:
5.0: the user sends the context information of the electric quantity feedback to the network, specifically, the user can feed back the information through the access network optimization execution unit, and then the information is forwarded to the network management unit or the core network data analysis unit by the access network optimization execution unit.
5.1.1-5.1.2: the network management unit collects UE electric quantity feedback context information (including battery residual electric quantity information, power consumption information, time and cell position), analyzes to obtain a user power saving decision algorithm, and inputs the current residual electric quantity and user power consumption parameters (current time period and 90% power consumption and average power consumption of a cell). The 90% power consumption refers to the historical power consumption of which the power consumption is more than 90%, and the output is whether to start power saving or not
5.2.1-5.2.3: the core network data analysis unit feeds back context information historical data according to the UE electric quantity collected from the network management unit, analyzes and obtains power consumption parameter data (average power consumption and 90% power consumption in each cell area in each time period recently) of each user, and provides the power consumption parameter data to the core network user parameter configuration and storage unit.
a) The user parameter storage dimension is IMSI identification, parameter type identification, parameter value, applicable position area and applicable time period, wherein the parameter type identification is user power consumption parameter, the parameter value is average power consumption value and 90% power consumption value, the applicable position area value is power consumption cell identification, and the applicable time period is power consumption time period.
5.3: the network management unit sends the power saving decision algorithm of the user to the access network data analysis unit;
5.4: when a user moves to a certain area, initiating position updating, acquiring power consumption parameter data of the user from a core network user parameter configuration and storage unit according to the IMSI of the user, the current cell identifier of the user and the current time by a core network user parameter pushing unit, and pushing the power consumption parameter data to an access network data analysis unit where the user cell is located;
5.5.1-5.5.4: when a user reports electric quantity data or submits a power saving application, the access network data analysis unit inputs a power saving decision algorithm according to the recent average power consumption and 90% power consumption of the current cell area of the current time period of the user and the current electric quantity of user UE to obtain a power saving decision, and the decision is sent to the access network optimization execution unit.
5.6: and the access network optimization execution unit executes the corresponding network optimization analysis decision. And according to the power saving decision, starting or not starting related power saving RRM configuration for the user, such as preferentially residing in a low frequency point for the user, and adjusting RRC state transition parameters and DTX/DRX parameters.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (18)

1. A radio network control optimization system, comprising: the device comprises a core network data analysis unit, a core network user parameter configuration and storage unit, a core network user parameter pushing unit, an access network data analysis unit and an access network optimization execution unit; wherein the content of the first and second substances,
the core network data analysis unit is used for analyzing User Equipment (UE) network data, obtaining UE related parameter data and providing the UE related parameter data for the core network user parameter configuration and storage unit for storage, wherein the UE related parameter data comprises: user parameter data counted by user dimension and terminal parameter data counted by terminal type dimension;
the core network user parameter pushing unit is used for inquiring UE related parameter data of the target UE in the core network user parameter configuration and storage unit when receiving the position update or switching notification of the target UE, and pushing the UE related parameter data to the access network data analysis unit where the target UE is located;
the access network data analysis unit is used for carrying out network control optimization data analysis according to the UE related parameter data of the target UE pushed by the core network user parameter pushing unit and UE network data dynamically collected from the access network to obtain a network optimization analysis decision of the target UE and providing the network optimization analysis decision to the access network optimization execution unit;
and the access network optimization executing unit is used for executing corresponding network control optimization at an access network side according to the network optimization analysis decision of the target UE provided by the access network data analyzing unit.
2. The radio network control optimization system of claim 1, further comprising:
and the network management unit is used for acquiring network data of an access network and configuring at least one of a network optimization function, a network optimization decision model and a network optimization decision algorithm for the access network data analysis unit according to the network data of the access network.
3. The radio network control optimization system of claim 2,
the network management unit is further configured to collect performance result feedback information of the access network optimization execution unit, perform optimization updating on the network optimization decision model according to the performance result feedback information, and send the updated network optimization decision model to the access network data analysis unit.
4. The radio network control optimization system of claim 1,
the UE network data comprises: user mobility related data, terminal network performance related data, user electric quantity information data and user service context information data of the UE;
the storage dimension of the user parameter data comprises: the international mobile subscriber identity IMSI of the user, the type and the data value of user parameter data, and optional parameter data application time period and application position area;
the user parameter data comprises at least one of: user mobility probability parameter data, user electric quantity consumption parameter data, user service type, user quality of experience (QoE) scoring type and service characteristic parameter data;
the storage dimension of the terminal parameter data comprises: the terminal type identification, the type and the data value of the terminal parameter data, and the optional applicable network type and the access mode of the parameter data;
the terminal parameter data includes: and the terminal network performance parameter data comprises average throughput, average service delay, call drop rate, bit error rate, used average modulation coding mode and distribution of all services of the terminal, and average throughput, service delay, call drop rate, bit error rate, used average modulation coding mode and distribution under specific services.
5. The radio network control optimization system of claim 1,
the core network user parameter pushing unit is further configured to query user parameter data matched with the IMSI of the target UE and query terminal parameter data matched with the terminal type identifier of the target UE when querying UE-related parameter data of the target UE.
6. The radio network control optimization system of claim 1,
and the core network user parameter pushing unit is also used for pushing the user parameter update related to the update notification to the access network data analysis unit where the related UE is located when the update notification of the core network data analysis unit is received.
7. The radio network control optimization system of claim 1,
the network optimization analysis decision comprises at least one of an operation command, a parameter configuration and a policy configuration; wherein the content of the first and second substances,
the operation command comprises an access network Radio Resource Management (RRM) operation, a Radio Resource Control (RRC) operation command and other predefined access network signaling commands;
the parameter configuration comprises access network element parameter configuration and RRM parameter configuration;
the strategy configuration comprises configuration of RRM key performance indicator KPI target preference, RRM algorithm type, applicable cell of RRM algorithm and user range.
8. The radio network control optimization system of claim 1,
the network management unit is further configured to configure at least one of a parameter calculation type and a parameter calculation algorithm for the core network data analysis unit according to the network data of the access network.
9. A method for radio network control optimization, comprising:
analyzing network data of User Equipment (UE), obtaining and storing UE related parameter data, wherein the UE related parameter data comprises: user parameter data counted by user dimension and terminal parameter data counted by terminal type dimension;
when receiving a location update or a switching notification of target UE, inquiring UE related parameter data of the target UE in the stored UE related parameter data;
performing network control optimization data analysis according to the UE related parameter data of the target UE and UE network data dynamically acquired from an access network to obtain a network optimization analysis decision of the target UE;
and executing corresponding network control optimization at the access network side according to the network optimization analysis decision of the target UE.
10. The radio network control optimization method of claim 9, wherein prior to the step of performing the network control optimization data analysis, the method further comprises:
and acquiring network data of an access network, and analyzing and configuring at least one of a network optimization function, a network optimization decision model and a network optimization decision algorithm for the network control optimization data according to the network data of the access network.
11. The radio network control optimization method of claim 10, further comprising:
and collecting performance result feedback information of the access network side executing corresponding network control optimization, and performing optimization updating on the network optimization decision model according to the performance result feedback information.
12. The radio network control optimization method of claim 9,
the UE network data comprises: user mobility related data, terminal network performance related data, user electric quantity information data and user service context information data of the UE;
the storage dimension of the user parameter data comprises: the international mobile subscriber identity IMSI of the user, the type and the data value of user parameter data, and optional parameter data application time period and application position area;
the user parameter data comprises at least one of: user mobility probability parameter data, user electric quantity consumption parameter data, user service type, user quality of experience (QoE) scoring type and service characteristic parameter data;
the storage dimension of the terminal parameter data comprises: the terminal type identification, the type and the data value of the terminal parameter data, and the optional applicable network type and the access mode of the parameter data;
the terminal parameter data includes: and the terminal network performance parameter data comprises average throughput, average service delay, call drop rate, bit error rate, used average modulation coding mode and distribution of all services of the terminal, and average throughput, service delay, call drop rate, bit error rate, used average modulation coding mode and distribution under specific services.
13. The method for controlling and optimizing radio network according to claim 9, wherein the step of querying the saved UE-related parameter data for the target UE comprises: and inquiring user parameter data matched with the IMSI of the target UE and terminal parameter data matched with the terminal type identifier of the target UE.
14. The radio network control optimization method of claim 9, further comprising:
and when the updating content of the UE related parameter data is obtained, carrying out network control optimization data analysis according to the updated UE related parameter data and UE network data dynamically acquired from an access network to obtain a network optimization analysis decision of the target UE.
15. The radio network control optimization method of claim 9,
the network optimization analysis decision comprises at least one of an operation command, a parameter configuration and a policy configuration; wherein the content of the first and second substances,
the operation command comprises an access network Radio Resource Management (RRM) operation, a Radio Resource Control (RRC) operation command and other predefined access network signaling commands;
the parameter configuration comprises access network element parameter configuration and RRM parameter configuration;
the strategy configuration comprises configuration of RRM key performance indicator KPI target preference, RRM algorithm type, applicable cell of RRM algorithm and user range.
16. The radio network control optimization method of claim 9, further comprising:
and configuring at least one of a parameter calculation type and a parameter calculation algorithm for analyzing the network data of the User Equipment (UE) according to the network data of the access network.
17. A communication device, comprising: memory, processor and computer program stored on the memory and executable on the processor, which when executed by the processor, performs the steps of the radio network control optimization method according to any of claims 9 to 16.
18. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the radio network control optimization method according to one of claims 9 to 16.
CN201910251946.8A 2019-03-29 2019-03-29 Wireless network control optimization method and system Active CN111757344B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910251946.8A CN111757344B (en) 2019-03-29 2019-03-29 Wireless network control optimization method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910251946.8A CN111757344B (en) 2019-03-29 2019-03-29 Wireless network control optimization method and system

Publications (2)

Publication Number Publication Date
CN111757344A true CN111757344A (en) 2020-10-09
CN111757344B CN111757344B (en) 2022-08-30

Family

ID=72672512

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910251946.8A Active CN111757344B (en) 2019-03-29 2019-03-29 Wireless network control optimization method and system

Country Status (1)

Country Link
CN (1) CN111757344B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023020086A1 (en) * 2021-08-20 2023-02-23 中兴通讯股份有限公司 Network optimization methods and apparatus, electronic device and storage medium
WO2023141991A1 (en) * 2022-01-28 2023-08-03 北京小米移动软件有限公司 Policy processing method and apparatus, and communication device and storage medium
WO2023179604A1 (en) * 2022-03-25 2023-09-28 中国移动通信有限公司研究院 Information processing method and apparatus, related devices, and storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101035308A (en) * 2006-03-09 2007-09-12 华为技术有限公司 Radio communication system and mobility management method
CN103369566A (en) * 2012-04-06 2013-10-23 中兴通讯股份有限公司 Terminal, device, and method of terminal and device for optimizing network performance
CN103702351A (en) * 2014-01-03 2014-04-02 中国联合网络通信集团有限公司 Network optimization method and equipment
US20150045028A1 (en) * 2013-08-09 2015-02-12 Qualcomm Incorporated User equipment specific mobility optimization and improved performance metrics for improving handover performance

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101035308A (en) * 2006-03-09 2007-09-12 华为技术有限公司 Radio communication system and mobility management method
CN103369566A (en) * 2012-04-06 2013-10-23 中兴通讯股份有限公司 Terminal, device, and method of terminal and device for optimizing network performance
US20150045028A1 (en) * 2013-08-09 2015-02-12 Qualcomm Incorporated User equipment specific mobility optimization and improved performance metrics for improving handover performance
CN103702351A (en) * 2014-01-03 2014-04-02 中国联合网络通信集团有限公司 Network optimization method and equipment

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023020086A1 (en) * 2021-08-20 2023-02-23 中兴通讯股份有限公司 Network optimization methods and apparatus, electronic device and storage medium
WO2023141991A1 (en) * 2022-01-28 2023-08-03 北京小米移动软件有限公司 Policy processing method and apparatus, and communication device and storage medium
WO2023179604A1 (en) * 2022-03-25 2023-09-28 中国移动通信有限公司研究院 Information processing method and apparatus, related devices, and storage medium

Also Published As

Publication number Publication date
CN111757344B (en) 2022-08-30

Similar Documents

Publication Publication Date Title
US11451997B2 (en) Systems and methods for a self-organizing network based on user equipment information
US10039016B1 (en) Machine-learning-based RF optimization
JP5637328B2 (en) Optimization of mobile wireless communication networks
CN111757344B (en) Wireless network control optimization method and system
JP6961771B2 (en) Profile switching by location
US9313726B2 (en) Method and apparatus for searching for network
US9622105B2 (en) Traffic control method and apparatus
US20170325138A1 (en) Use of Prediction Model of the Quality of Service in a Target Cell to Trigger a Handover
US11589210B2 (en) Information processing method and apparatus, and computer storage medium
CN108702697A (en) Target cell determining method, base station and management equipment
CN112399495B (en) Method and device for recording historical information and computer readable storage medium
EP2534872A1 (en) Method and apparatus for reporting of measurement data
US20130210438A1 (en) Cell-based inter-frequency measurement events for detected or monitored set cells
CN102271322A (en) Method and device for transmitting MDT (Minimization of Drive Tests) collocation information
CN108271225B (en) Network acquisition method and device
US9078156B2 (en) Method of controlling minimization of drive tests
CA2615730A1 (en) Method and arrangement for optimizing the operational times and cell change performance of mobile terminals
EP2773149B1 (en) Method for optimising mobility management in a cellular network and in a mobile terminal of a cellular network
US9445294B2 (en) Terminal selection method, network device, and radio terminal
CN105847384B (en) A kind of switching method of the network-control based on big data
US9049615B2 (en) Method of controlling minimization of drive tests
US20230066921A1 (en) Method and Network Node for Providing an RF Model of a Telecommunications System
CN103249032A (en) Method of controlling minimization of drive tests
NEAMTU et al. UPGRADING MOBILE NETWORK USING FUZZY LOGIC METHODS
CN105873188A (en) Network selection method and mobile phone terminal

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant